Philip Bachman

Identifiers

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Papers (17)

1. Learning Representations by Maximizing Mutual Information Across Views cs.LG · 2019 · author #1
2. VFunc: a Deep Generative Model for Functions cs.LG · 2018 · author #1
3. Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data cs.LG · 2018 · author #4
4. Deep Reinforcement Learning that Matters cs.LG · 2017 · author #3
5. Variational Generative Stochastic Networks with Collaborative Shaping cs.LG · 2017 · author #1
6. Learning Algorithms for Active Learning cs.LG · 2017 · author #1
7. Machine Comprehension by Text-to-Text Neural Question Generation cs.CL · 2017 · author #5
8. Calibrating Energy-based Generative Adversarial Networks cs.LG · 2017 · author #3
9. Towards Information-Seeking Agents cs.LG · 2016 · author #1
10. An Architecture for Deep, Hierarchical Generative Models cs.LG · 2016 · author #1
11. NewsQA: A Machine Comprehension Dataset cs.CL · 2016 · author #6
12. Natural Language Generation in Dialogue using Lexicalized and Delexicalized Data cs.CL · 2016 · author #5
13. Iterative Alternating Neural Attention for Machine Reading cs.CL · 2016 · author #2
14. Testing Visual Attention in Dynamic Environments cs.LG · 2015 · author #1
15. Data Generation as Sequential Decision Making cs.LG · 2015 · author #1
16. Learning with Pseudo-Ensembles stat.ML · 2014 · author #1
17. Representation as a Service cs.LG · 2014 · author #2

Mentions

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Frequent Coauthors

• Alessandro Sordoni 7 shared papers
• Adam Trischler 5 shared papers
• Doina Precup 5 shared papers
• Aaron Courville 2 shared papers
• Amjad Almahairi 2 shared papers
• Joelle Pineau 2 shared papers
• Kaheer Suleman 2 shared papers
• Ouais Alsharif 2 shared papers
• Riashat Islam 2 shared papers
• Tong Wang 2 shared papers
• Xingdi Yuan 2 shared papers
• Caglar Gulcehre 1 shared papers
• David Krueger 1 shared papers
• David Meger 1 shared papers
• Eduard Hovy 1 shared papers
• Hannes Schulz 1 shared papers
• Jing He 1 shared papers
• Justin Harris 1 shared papers
• Peter Henderson 1 shared papers
• R Devon Hjelm 1 shared papers